Evaluating seven bioinformatics platforms for tertiary analysis of genomic data from whole exome sequencing in a pilot group of patients

SeqOne, CentoCloud, and Franklin had the highest performance in automated variant prioritization, as they prioritized all variants. In relation to automated classification, Franklin showed a higher concordance with the reference and a lower number of discordances with clinical implications. In conclusion, Franklin emerges as the platform with the best overall performance. Anyway, further studies are needed to confirm these results.

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Publication Details

Journal
Advances in Laboratory Medicine / Avances en Medicina de Laboratorio
Published
2025-03-01
DOI
https://doi.org/10.1515/almed-2025-0031
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
3.63
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article

Evaluating seven bioinformatics platforms for tertiary analysis of genomic data from whole exome sequencing in a pilot group of patients

Julien Crettaz, Otilia Martínez-Múgica Barbosa, Nerea Bastida-Lertxundi, Raquel Sáez-Villaverde et al.
2 citations
Advances in Laboratory Medicine / Avances en Medicina de Laboratorio
Genomics and Rare Diseases
3.63
article

Evaluating seven bioinformatics platforms for tertiary analysis of genomic data from whole exome sequencing in a pilot group of patients

Julien Crettaz, Otilia Martínez-Múgica Barbosa, Nerea Bastida-Lertxundi, Raquel Sáez-Villaverde, Raquel Muguerza-Iraola, Itxaso Martì, Borja Laña-Ruíz
article en
2 citations

Abstract

SeqOne, CentoCloud, and Franklin had the highest performance in automated variant prioritization, as they prioritized all variants. In relation to automated classification, Franklin showed a higher concordance with the reference and a lower number of discordances with clinical implications. In conclusion, Franklin emerges as the platform with the best overall performance. Anyway, further studies are needed to confirm these results.

Advances in Laboratory Medicine / Avances en Medicina de LaboratorioVol. 6(1)
University of the Basque Country (ES), Biogipuzkoa Health Research Institute (ES), Osakidetza (ES)
Openalex Percentile: Top 9%
Genomics and Rare Diseases
3.63
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